{
    "action": "tool_call",
    "reasoning": "The inspect_columns result shows the table has 14 columns, many of which are VARCHAR. The column names suggest this is call center data with metrics like 'Total Calls', 'AI Handled', 'Human Handled', 'Voicemail', and percentage columns. The _unnamed columns likely contain additional metrics. To understand natural segmentation, I need to see actual sample rows to understand the data structure and identify categorical dimensions that could be used for grouping (like time periods, call types, sentiment labels, etc.).",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT * FROM raw.callyeah_analytics_2026_07_23 LIMIT 10",
        "purpose": "Get sample rows to understand the data structure and identify natural grouping dimensions",
        "source": "raw"
    }
}